Monitoring and Evaluation of Terni (Central Italy) Air Quality through Spatially Resolved Analyses

A study of spatial variability of PM10 elemental components was conducted in Terni city (Central Italy), situated in an intramountain depression characterized by the presence of several particulate matter emission sources. The meteorological conditions of the Terni basin limit the dispersion and enh...

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Main Authors: Lorenzo Massimi, Martina Ristorini, Marta Eusebio, Darla Florendo, Adeola Adeyemo, Davide Brugnoli, Silvia Canepari
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/8/10/200
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spelling doaj-63fd2ef05f0d4100bda957b58e28aa2d2020-11-24T22:52:28ZengMDPI AGAtmosphere2073-44332017-10-0181020010.3390/atmos8100200atmos8100200Monitoring and Evaluation of Terni (Central Italy) Air Quality through Spatially Resolved AnalysesLorenzo Massimi0Martina Ristorini1Marta Eusebio2Darla Florendo3Adeola Adeyemo4Davide Brugnoli5Silvia Canepari6Department of Chemistry, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185 Roma, ItalyDepartment of Chemistry, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185 Roma, ItalyDepartment of Chemistry, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185 Roma, ItalySchool of Chemistry & Pharmaceutical Sciences, DIT—Dublin Institute of Technology, Kevin Street, Dublin 2 D02, IrelandSchool of Chemistry & Pharmaceutical Sciences, DIT—Dublin Institute of Technology, Kevin Street, Dublin 2 D02, IrelandDepartment of Chemistry, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185 Roma, ItalyDepartment of Chemistry, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185 Roma, ItalyA study of spatial variability of PM10 elemental components was conducted in Terni city (Central Italy), situated in an intramountain depression characterized by the presence of several particulate matter emission sources. The meteorological conditions of the Terni basin limit the dispersion and enhance the accumulation of atmospheric pollutants. Thanks to the utilization of new smart samplers, used for the first time and working in parallel at 23 sampling sites, spatially resolved data were obtained. Localizations of the samplers were chosen in order to evaluate the impact of different local PM10 sources. Chemical composition of the samples was determined in combination with a chemical fractioning procedure that allowed us to discriminate water-soluble and residual fractions of analyzed elements in which proved to be a valuable approach for increasing selectivity of elements as source tracers. Spatial variability of elements underlined the contribution of local emission sources and the different dispersion capacity of each element. The city of Terni resulted to be an ideal area to test and validate a new experimental method for the acquisition of spatially resolved data providing the possibility to properly evaluate the spatial variability of PM10 and its chemical components.https://www.mdpi.com/2073-4433/8/10/200Terni air qualityparticulate matterPM10spatially resolved dataspatial variabilitydispersion capacitysmart samplerschemical fractionationemission sourcessource tracerschemical source profiles
collection DOAJ
language English
format Article
sources DOAJ
author Lorenzo Massimi
Martina Ristorini
Marta Eusebio
Darla Florendo
Adeola Adeyemo
Davide Brugnoli
Silvia Canepari
spellingShingle Lorenzo Massimi
Martina Ristorini
Marta Eusebio
Darla Florendo
Adeola Adeyemo
Davide Brugnoli
Silvia Canepari
Monitoring and Evaluation of Terni (Central Italy) Air Quality through Spatially Resolved Analyses
Atmosphere
Terni air quality
particulate matter
PM10
spatially resolved data
spatial variability
dispersion capacity
smart samplers
chemical fractionation
emission sources
source tracers
chemical source profiles
author_facet Lorenzo Massimi
Martina Ristorini
Marta Eusebio
Darla Florendo
Adeola Adeyemo
Davide Brugnoli
Silvia Canepari
author_sort Lorenzo Massimi
title Monitoring and Evaluation of Terni (Central Italy) Air Quality through Spatially Resolved Analyses
title_short Monitoring and Evaluation of Terni (Central Italy) Air Quality through Spatially Resolved Analyses
title_full Monitoring and Evaluation of Terni (Central Italy) Air Quality through Spatially Resolved Analyses
title_fullStr Monitoring and Evaluation of Terni (Central Italy) Air Quality through Spatially Resolved Analyses
title_full_unstemmed Monitoring and Evaluation of Terni (Central Italy) Air Quality through Spatially Resolved Analyses
title_sort monitoring and evaluation of terni (central italy) air quality through spatially resolved analyses
publisher MDPI AG
series Atmosphere
issn 2073-4433
publishDate 2017-10-01
description A study of spatial variability of PM10 elemental components was conducted in Terni city (Central Italy), situated in an intramountain depression characterized by the presence of several particulate matter emission sources. The meteorological conditions of the Terni basin limit the dispersion and enhance the accumulation of atmospheric pollutants. Thanks to the utilization of new smart samplers, used for the first time and working in parallel at 23 sampling sites, spatially resolved data were obtained. Localizations of the samplers were chosen in order to evaluate the impact of different local PM10 sources. Chemical composition of the samples was determined in combination with a chemical fractioning procedure that allowed us to discriminate water-soluble and residual fractions of analyzed elements in which proved to be a valuable approach for increasing selectivity of elements as source tracers. Spatial variability of elements underlined the contribution of local emission sources and the different dispersion capacity of each element. The city of Terni resulted to be an ideal area to test and validate a new experimental method for the acquisition of spatially resolved data providing the possibility to properly evaluate the spatial variability of PM10 and its chemical components.
topic Terni air quality
particulate matter
PM10
spatially resolved data
spatial variability
dispersion capacity
smart samplers
chemical fractionation
emission sources
source tracers
chemical source profiles
url https://www.mdpi.com/2073-4433/8/10/200
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